Evidence map›Paper›PMID 38399784›Full record

ArticleMicroorganisms2024

Scrutinizing Clinical Biomarkers in a Large Cohort of Patients with Lyme Disease and Other Tick-Borne Infections.

David Xi, Kunal Garg, John S Lambert, Minha Rajput-Ray, Anne Madigan, Gordana Avramovic, Leona Gilbert

Open access · goldAbstract read
In one paragraph

Article in Microorganisms, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 40% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 1 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

David XiSchool of Medicine, University College Dublin, D04 V1W8 Dublin, Ireland.
Kunal GargTe?ted Oy, 40100 Jyväskylä, Finland.
John S LambertSchool of Medicine, University College Dublin, D04 V1W8 Dublin, Ireland.
Minha Rajput-RayCuraidh Clinic: Innovative Solutions for Pain, Chronic Disease and Work Health, Perth PH2 8EH, UK.
Anne MadiganSchool of Medicine, University College Dublin, D04 V1W8 Dublin, Ireland.
Gordana AvramovicSchool of Medicine, University College Dublin, D04 V1W8 Dublin, Ireland.
Leona GilbertTe?ted Oy, 40100 Jyväskylä, Finland.ORCID 0000-0002-7470-5770
University College Dublin · IE

Funding

CSRD VA 1
6 · The paper itself

Abstract

Standard clinical markers can improve tick-borne infection (TBI) diagnoses. We investigated immune and other clinical biomarkers in 110 patients clinically diagnosed with TBIs before (T0) and after antibiotic treatment (T2). At T0, both the initial observation group and patients without seroconversion for tick-borne pathogens exhibited notably low percentages and counts of CD3 percentage (CD3%), CD3+ cells, CD8+ suppressors, CD4 percentage (CD4%), and CD4+ helper cells, with the latter group showing reductions in CD3%, CD3+, and CD8+ counts in approximately 15-22% of cases. Following treatment at the T2 follow-up, patients typically experienced enhancements in their previously low CD3%, CD3+ counts, CD4%, and CD4+ counts; however, there was no notable progress in their low CD8+ counts, and a higher number of patients presented with insufficient transferrin levels. Moreover, among those with negative serology for tick-borne infections, there was an improvement in low CD3% and CD3+ counts, which was more pronounced in patients with deficient transferrin amounts. Among those with CD57+ (

Indexed as

biomarkersCD19+ lymphocytesCD3+ lymphocytesCD4+ lymphocytesCD57+ natural killer cellsCD8+ lymphocyteschronic Lyme diseaseLyme diseasetick-borne co-infectionstick-borne infectionstransferrin

Identifiers

PMID38399784
PMCPMC10893018
OpenAlexW4391744098

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.